View Recent Changes: Difference between revisions
Line 10: | Line 10: | ||
by [[Philip Leonard Ocampo]] & [[Matt Nish-Lapidus]] | by [[Philip Leonard Ocampo]] & [[Matt Nish-Lapidus]] | ||
Using the relations dataset as the basis for automated found image assemblage, <i>I'm Feeling Lucky</i> creates unique real-time image sets for each of the 15000+ terms in the dataset. The set of terms is laid out on a single page as links, flowing to fill the screen. Each link leads to a collage/assemblage of images found through using the phrase as an image search, and arranging the results [somehow tbd]. | |||
Matt Nish-Lapidus, in collaboration with Philip Leonard Ocampo, are addressing the human labour behind machine learning, specifically aggregated data-sets that quantify and itemize the different types of relationships between objects/subjects in images online. <i>I'm Feeling Lucky</i> considers (and unravels) the linguistic poetics of code, and address the implications of addressing the human on an in-human scale. | |||
---- | ---- |
Revision as of 16:25, 6 May 2020
Introduction
What does it mean to live together in digitally mediated isolation? Recent Changes considers the potential of the internet as a public space for community gathering, while widening our understanding of ‘community’. As communicative operations move online, the entrenchment of disciplinary capitalist politics within these spaces becomes increasingly apparent. This project considers the ways we can circumvent the individualizing, commodifying qualities of our online spaces to explore otherwise positive forms of relationality, intimacy and solidarity.
Recent Changes is an online project consisting of artists Oscar Alfonso, Simon Fuh, Matt Nish-Lapidus, Sophia Oppel and Hearth - a new artist-run space in Toronto, co-directed by Benjamin de Boer, Rowan Lynch, Sameen Mahboubi and Philip Leonard Ocampo.
I'm Feeling Lucky
by Philip Leonard Ocampo & Matt Nish-Lapidus
Using the relations dataset as the basis for automated found image assemblage, I'm Feeling Lucky creates unique real-time image sets for each of the 15000+ terms in the dataset. The set of terms is laid out on a single page as links, flowing to fill the screen. Each link leads to a collage/assemblage of images found through using the phrase as an image search, and arranging the results [somehow tbd].
Matt Nish-Lapidus, in collaboration with Philip Leonard Ocampo, are addressing the human labour behind machine learning, specifically aggregated data-sets that quantify and itemize the different types of relationships between objects/subjects in images online. I'm Feeling Lucky considers (and unravels) the linguistic poetics of code, and address the implications of addressing the human on an in-human scale.
test page
by Benjamin de Boer & Sophia Oppel
Goose Cakes
by Rowan Lynch & Simon Fuh